Power grid free text knowledge extraction method

A knowledge extraction and power grid technology, applied in the information field, can solve the problems of insufficient utilization of power grid free text data, low accuracy of power grid free text knowledge extraction, and insufficient coverage
CN111177401AInactive Publication Date: 2020-05-19XI AN JIAOTONG UNIV +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Publication Date
2020-05-19
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a power grid free text knowledge extraction method. The method comprises the steps of collecting power grid free text data; preprocessing the collected free text data; carryingout dependency syntactic analysis on the preprocessed power grid free text data to obtain a dependency relationship; performing entity relationship extraction on the obtained dependency relationshipin combination with the marked professional terms to obtain an initial power grid entity relationship; if the initial power grid entity relationship is not repeated, obtaining a final power grid entity relationship; and converting the obtained final power grid entity relationship into a knowledge graph and presenting the knowledge graph. According to the method, the problems that the power grid free text knowledge extraction accuracy is low, the coverage area is insufficient, the power grid free text data cannot be fully utilized, and the value of the power grid free text data cannot be exerted are solved, and the power grid domain knowledge extraction accuracy and coverage area are improved.
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Description

technical field

[0001] The invention belongs to the field of information technology, and in particular relates to a method for extracting free text knowledge of a power grid. Background technique

[0002] With the rapid development of the information construction of power grid companies, the data accumulated in the information system has increased, including not only structured data, but also unstructured text data. At present, most of the company's exploration and mining of data value is oriented to structured data, and the use of unstructured free text data is not sufficient, and the knowledge contained in the power grid free text has not been fully extracted. The knowledge extraction of power grid free text has become an inevitable requirement for the company's development, and it has become one of the important tasks to support the company's lean management and scientific decision-making.

[0003] With the continuous development of natural language processing technology...

Claims

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